CdSECONOMIA E COMMERCIO
Codice472PP
CFU3
PeriodoPrimo semestre
LinguaInglese
| Moduli | Settore/i | Tipo | Ore | Docente/i | |
| STATISTICAL DATA ANALYSIS I | SECS-S/01 | LEZIONI | 21 |
|
The aim of the course is to introduced students who have already some knowledge in basic statististical inference to the following more advanced topics:
- Hypothesis testing: difference between two means/proportions
- Analysis of variance (ANOVA)
- Linear regression model
The main means of assessment will be a written test with exercises. The not compulsory oral test will be used to better specify the mark of the written test.
After the course students will be able to apply the learned statistical tools of inference to analyse data.
The written test will contain numerical exercises as well as theoretical questions.
Students will learn how to analyse data with the appropriate statistical method.
During the lessons some exercises similar to those of the final written exam will be solved, so that it will be possible to evaluate the acquired skills.
Basic knowledge of statistical inference (probability, random variables, confidence intervals, hypothesis testing for one population).
None.
The course can be used as a basis for further statistical courses (e.g. Statistical Data Analysis II).
During the lessons a pen tablet (digital blackboard) will be used. After each lesson the professor's notes will be made available to the students in pdf format on the Moodle of the course.
Other teaching material (e.g. exercises with solution) will be available on the Moodle of the course.
The aim of the course is to introduce some additional concepts to students that have already received the basic concepts on statistical inference.
The first aim of the course is to provide to students the proper methodologies when the goal of inference is to compare the responses to two treatments or to compare the characteristics of two populations. The focus will be on the comparisons between two means and two proportions.
Then, the course will focus on inference for the simple regression linear model. The emphasis will be on the hypothesis of the mode, and on the tests and confidence intervals for the intercept and the slope.
Finally, the course will introduce the one-way analysis of variance, the basic methodology to be used for comparing several means.
Paul Newbold, William L. Carlson, Betty M. Thorne (2013) Statistics for Business and Economics (Eighth edition). Pearson
David S. Moore, William I. Notz, Michael A. Fligner (2011) The Basic Practice of Statistics (with Student CD). W. H. Freeman and Company, New York
Mark L. Berenson, David M. Levine, Timothy C. Krehbiel, David F. Stephan (2011) Basic Business Statistics - Concepts and Applications (12nd Edition). Prentice Hall, New Jersey
The syllabus and assessment method of the course also apply to non-attending students.
The written test will be formed by three exercises, each concerning one of the main three topics of the course.
Each exercise will consist in a question to be solve by applying formulas plus a question on the theory of the applied method.
Not expected.